Senior Engineering Program Manager, Core Algorithm Development

Responsibilities

• Lead program management for the Core Algorithm Development team, driving execution of algorithm initiatives that power WHOOP’s core product experiences.
• Partner with algorithm engineers, data scientists, firmware engineers, software teams, product managers, and validation teams to define program plans, milestones, dependencies, and release schedules.
• Establish and continuously improve development processes for algorithm development, validation, integration, and release, enabling predictable execution across multiple concurrent programs.
• Drive cross-functional coordination across engineering, product and quality to ensure alignment on priorities, risks, deliverables, and timelines.
• Identify technical and program risks early, proactively driving mitigation plans and helping teams navigate changing priorities while maintaining delivery commitments.
• Coordinate algorithm validation efforts, ensuring appropriate data availability, testing strategies, performance evaluation, and release readiness.
• Develop clear program reporting, executive communications, and operational metrics that provide visibility into progress, risks, and resource needs.
• Champion continuous improvement across planning, execution, and release management processes to improve velocity, quality, and predictability across the Sensor Intelligence organization.
• Foster strong collaboration across technical teams while creating an environment that enables engineers to focus on delivering high-impact work.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Biomedical Engineering, Electrical Engineering, Data Science, Applied Mathematics, or a related technical field, or equivalent practical experience.
• 5+ years of experience in technical program management, engineering program management, or leading complex cross-functional engineering initiatives.
• Experience partnering with algorithm development, machine learning, data science, or software engineering teams to deliver complex technical products.
• Experience managing algorithm development programs through the full development lifecycle, including planning, development, validation, integration, and release.
• Strong understanding of modern engineering development processes, release management, dependency management, and technical program execution.
• Experience working with physiological sensing, wearable technologies, machine learning systems, or data-driven products is preferred.
• Excellent communication, organizational, and stakeholder management skills, with the ability to translate complex technical work into clear program plans and executive updates.
• Demonstrated ability to operate effectively in fast-paced environments with multiple competing priorities while driving alignment across highly technical teams.
• Strong commitment to embracing and leveraging AI tools to enhance productivity across program management activities, including planning, documentation, analysis, and communication, while ensuring AI-assisted outputs meet the same high standards for accuracy, quality, and responsible use as personal contributions.